Research that leaves room for your creativity

TubeResearcher is a YouTube research platform that helps creators find patterns in public video and channel data, understand competitors and plan their next video.

Handwritten TubeResearcher interface sketches and research notes on a green background — My first sketches for the homepage (excuse my messy handwriting)

A creative process worth protecting

Making a good YouTube video takes creativity, judgment and personal taste. That is the part I want creators to own.

Before that work begins, there is a huge amount of information to make sense of: videos, channels, topics and competing ideas. It is easy to spend hours looking without knowing which patterns deserve your attention.

I built TubeResearcher to help at that earlier stage. My aim is to give creators a clearer starting point, so the effort they put into a video feels purposeful and the research itself becomes less overwhelming.

Hi, I’m Tim

Founder & Software Developer

I value my privacy, yours matters too (your data is securely hosted in Germany, Berlin)

From KeywordsRocket to TubeResearcher

I’m an independent software developer with more than eight years of experience. I also used to run a YouTube channel. TubeResearcher brings that experience together with my fascination for programming, computer science and data analysis.

The project grew out of KeywordsRocket. Development began in May 2026, and TubeResearcher launched on November 1, 2026. I build and operate it myself. The question behind it is simple: how can we help creators find useful patterns in all that data, while leaving the creative decisions in their hands?

Why I started TubeResearcher

What frustrated me about other YouTube tools was the gap between finding an outlier and understanding what it actually meant for me. I could see that a video had performed unusually well. But I was still left to work out whether there was something useful in it for my own channel, and what to do with that information.

That gap is where I see TubeResearcher’s purpose. The research tools that are often the main product elsewhere are the foundation here: outlier discovery, channel data and competitor analysis give the research agent something to work with. The aim is to use that foundation to answer the questions a creator came with in the first place.

For me, the useful outcome is understanding how an observation relates to your audience, your existing videos and the direction you want to take. An outlier might suggest a topic to explore, an angle to rethink or an idea that simply does not fit your channel. Helping you make that distinction is what I want to build toward, so the research leads somewhere beyond another saved video.

Help shape what comes next

I’d love to hear what you create with TubeResearcher, especially the success stories. Ideas, questions and honest feedback are just as welcome. I always have an open ear, and an open inbox :)